Multi Channel Imaging
Multi Channel Imaging - Related Videos
09:45
Separating Beads and Cells in Multi-channel Microfluidic Devices Using Dielectrophoresis and Laminar Flow
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Cited by 8 •
2011
Dielectrophoresis (DEP) is an effective method to manipulate cells. Printed circuit boards (PCB) can provide inexpensive, reusable and effective electrodes for contact-free cell manipulation within microfluidic devices. By combining PDMS-based microfluidic channels with coverslips on PCBs, we demonstrate bead and cell manipulation and separation within multichannel microfluidic devices.
07:50
Electron Channeling Contrast Imaging for Rapid III-V Heteroepitaxial Characterization
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Cited by 22 •
2015
The use of electron channeling contrast imaging in a scanning electron microscope to characterize defects in III-V/Si heteroexpitaxial thin films is described. This method yields similar results to plan-view transmission electron microscopy, but in significantly less time due to lack of required sample preparation.
10:18
High-Throughput, Multi-Image Cryohistology of Mineralized Tissues
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Cited by 117 •
2016
In this manuscript, we present a high-throughput, semi-automated cryohistology platform to produce aligned composite images of multiple response measures from several rounds of fluorescent imaging on frozen sections of mineralized tissues.
12:19
Single-channel Analysis and Calcium Imaging in the Podocytes of the Freshly Isolated Glomeruli
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Cited by 25 •
2015
Changes in the intracellular calcium levels in the podocytes are one of the most important means to control the filtration function of glomeruli. Here we explain a high-throughput approach that allows detection of real-time calcium handling and single ion channels activity in the podocytes of the freshly isolated glomeruli.
07:17
Single-Cell Calcium Imaging for Studying the Activation of Calcium Ion Channels
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2024
This article presents a method for real-time, quantitative monitoring of calcium ion (Ca2+) concentrations in cells using single-cell Ca2+ imaging with the Fura-2/AM dye. This technique enables efficient dye loading and accurate calculation of Ca2+ levels through fluorescence intensity ratios, making it a simple and rapid approach for research applications.
FAQs
Channel-specific optical settings keep signals distinguishable. A distinct emission spectrum, optical filter, or detector setting is assigned to each fluorescent label or contrast source, so the resulting images can be interpreted as separate molecular or structural signals. This separation lets investigators examine several targets in one specimen without losing the identity associated with each signal.
Image registration aligns the separately acquired channels so that corresponding features occupy the same spatial coordinates. Spectral separation then helps distinguish signals whose optical properties differ. Together, these operations are important because an apparent overlap or separation is meaningful only when channel identity and position remain consistent across the combined image.
Combining channels makes it possible to assess spatial relationships rather than viewing each target in isolation. In a genetic specimen, the position of chromosomes, DNA sequences, RNA transcripts, and cellular structures can be considered together. This context supports interpretation of whether signals occupy related or distinct locations within the same cell or tissue.
During acquisition, each label or contrast source is associated with its own emission spectrum, optical filter, or detector setting. The resulting channel images are then registered and spectrally separated so their locations and identities remain interpretable. This workflow produces a coordinated view for examining relationships among several targets.
Within genetics, the method can be used to examine gene organization, gene expression, chromosome behavior, and genetic variation. Its value comes from linking these genetic features to their positions in individual cells or tissues. Researchers can therefore study molecular patterns together with cellular context, rather than treating genetic signals as location-free measurements.
Because signals from multiple targets are retained with positional information, analyses can be performed in individual cells or across tissues. The same imaging result can connect molecular targets with surrounding cellular structures and compare where signals occur. This is especially relevant when genetic organization or expression depends on spatial relationships within a specimen.